AI / ML Engineer

As an AI/ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing to enhance the functionality and performance of the systems you create.

Responsibilities:

• Develop applications and systems that utilize AI tools and cloud AI services with a proper cloud or on-prem application pipeline with production-ready quality.
• Be able to apply GenAI models as part of the solution.
• Could also include, but is not limited to, deep learning, neural networks, chatbots, and image processing.
• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Mentor junior team members to foster their professional growth.
• Continuously evaluate and improve existing processes and systems to enhance efficiency.

Requirements:

• Must-have skills: Proficiency in Machine Learning (ML).
• Good-to-have skills: Experience with Python (programming language) and generative AI.
• Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
• Experience in deploying machine learning models in cloud environments.
• Familiarity with data preprocessing and feature engineering techniques.
• The candidate should have a minimum of 5 years of experience in machine learning (ML).
• A 15-year full-time education is required.
• 15 years of full-time education.